From 45a4a86ff27683cd563f7d2f2009ca4f8e388996 Mon Sep 17 00:00:00 2001
From: Jen Mankoff <jmankoff@cs.washington.edu>
Date: Sun, 20 Aug 2023 17:51:57 -0700
Subject: [PATCH] minor changes to schedule
---
schedule.md | 21 +++++++++++----------
1 file changed, 11 insertions(+), 10 deletions(-)
diff --git a/schedule.md b/schedule.md
index f25d4272..085eaaf6 100644
--- a/schedule.md
+++ b/schedule.md
@@ -112,7 +112,7 @@ Practice with Plain Language
{% enddetails %}
{: .week}
-# Week 3 (10/9-10/13): Accessibility Assessment 1: Guidelines and Assessment
+# Week 3 (10/9-10/13): Guidelines and Assessment
{% details Learning Goals %}
- What are the current accessibility standards
@@ -143,6 +143,7 @@ Practice with Plain Language
- Read about [Switches](https://axesslab.com/switches/)
- Try out the [Image ALT Text Tutorial](https://webaim.org/techniques/alttext/)
- Watch: [Rescribe: Authoring and Automatically Editing Audio Descriptions](https://www.youtube.com/watch?v=jmyPmT5T0PY)
+ - Read about [Making numbers accessible](https://www.tpgi.com/making-numbers-in-web-content-accessible/)n
{: .homework} [Class Participation survey](TBD)
:
@@ -178,7 +179,7 @@ Practice with Accessibility Assesssment
{% enddetails %}
{: .week}
-# Week 4 (10/16-10/20): Building Accessible Interfaces & Remediating Problems
+# Week 4 (10/16-10/20): Building & Remediating Accessible Interfaces
{% details Learning Goals %}
- How accessibility works under the hood
@@ -301,6 +302,13 @@ TBD
# Week 6 (10/30 - 11/3): Accessible Visulaizations & AR/VR
{% details Learning Goals %}
+Bias in Machine Learning
+ - What is Machine Learning (ML)?
+ - What are the components of ML?
+ - How do we collect data? Who do we collect the data from?
+ - Is the data "good"?
+ - How do we minimize disability bias?
+
Accessible Data Visualizations
- What are the commonly-used techniques to make data visualizations accessible?
- What are the pros and cons of these techniques?
@@ -363,17 +371,10 @@ Check in to make sure you have a plan and it is do-able
{: .week}
-# Week 7 (11/6 - 11/10): Fabrication & Data Equity
+# Week 7 (11/6 - 11/10): Fabrication
{% details Learning Goals %}
- Work with laser cutting to make accessible technology
- Learn about fabrication tools and techniques
-
-- Bias in Machine Learning
- - What is Machine Learning (ML)?
- - What are the components of ML?
- - How do we collect data? Who do we collect the data from?
- - Is the data "good"?
- - How do we minimize disability bias?
{% enddetails %}
--
GitLab